Spending Patterns Research Articles

Consumer behavior and spending patterns on cultural goods and services

This study investigates the factors influencing consumer behavior and spending patterns on cultural goods and services. Using a quantitative research approach with Partial Least Squares Structural Equation Modeling (PLS-SEM), data were gathered through a structured survey of 350 respondents from diverse demographic backgrounds. The results reveal that cultural interest, social influence, and perceived value have a significant and positive impact on consumer spending behavior, with cultural interest showing the strongest influence (β = 0.45, p < 0.01). Additionally, the study highlights the mediating role of perceived value in the relationship between social influence and spending behavior. These findings provide practical insights for marketers and cultural institutions aiming to better understand consumer motivations in the cultural sector. Future research should consider expanding the sample size and exploring other potential mediating variables.

Consumption and expenditure of antidepressants and anxiolitycs in 14 European countries

Abstract Background Since the burden of depressive and anxiety disorders, assessing the use and spending of drugs commonly prescribed for treating such conditions is a valuable barometer of mental health assistance and healthcare services. The current research aims to evaluate the consumption of antidepressants and anxiolytics and the relative expenditure among 14 European countries (Austria, Czech Republic, Finland, Germany, Hungary, Italy, Latvia, Luxembourg, Norway, Portugal, Slovak Republic, Slovenia, Spain and Sweden). Methods A retrospective longitudinal study was assessed based on pooled time series analysis of secondary data over ten years (2012-2021). Defined Daily Doses (DDD) per 1,000 inhabitants and health expenditure per capita (current US$, computed on purchasing power parity) were considered. Linear and quadratic trends were calculated for defining relationships between the variables of interest. Results Prevailing patterns of consumption and spending show an increase in antidepressants and a decrease in anxiolytics. Noteworthy is the growth slope of antidepressant consumption in three selected countries, Portugal, Spain, and Sweden, by over two and a half times from 2012 to 2021. In addition, for a few countries, there is a pattern contrary to most countries for anxiolytics (Latvia, Spain) and discordant between consumption and expenditure for antidepressants (Austria, Hungary). Conclusions The widespread growth of antidepressant use deserves attention. As a public health issue, the prescription and use of antidepressants should be addressed by targeted policies for integrating multifaceted strategies. Key messages • Monitoring consumption and expenditure of antidepressant and anxiolytic drugs represents a valid tool for assessing the efficacy and availability of mental healthcare services among the population. • The growth in the consumption of antidepressants represents a relevant public health issue and deserves attention for the evaluation of an integrated approach of assistance.

Navigating the Nexus of Artificial Intelligence and Renewable Energy for the Advancement of Sustainable Development Goals

The integration of artificial intelligence (AI) into renewable energy and sustainability represents a transformative approach toward achieving sustainable development goals (SDGs), especially SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action). This study utilized the PRISMA framework to conduct a systematic review, focusing on the role of AI in renewable energy and sustainable development. This research utilized Scopus’s curated AI research area, which employs text mining to refine AI concepts into unique keywords. Further refinement via the All Science Journals Classification system and SDG-mapping filters narrowed the focus to publications relevant to renewable energy and SDGs. By employing the BERTopic modeling approach, our study identifies major topics, such as enhancing wind speed forecasts, performance analysis of fuel cells, energy management in elective vehicles, solar irradiance prediction, optimizing biofuel production, and improving energy efficiency in buildings. AI-driven models offer promising solutions to address the dynamic challenges of sustainable energy. Insights from academia-industry collaborations indicate that such partnerships significantly accelerate sustainable-energy transitions, with a focus on AI-driven energy storage, grid management, and renewable-energy forecasting. A global consensus on the critical role of investing in technology-driven solutions for energy sustainability was underscored by the relationship between funding data and global R&D spending patterns. This study serves as a resource for practitioners to harness AI technologies for renewable energy, where for example, AI’s accurate wind speed predictions can increase wind farm efficiency, highlighting the necessity of innovation and collaboration for sustainable development.

Systematic Review of Consumer Price Index Methods and Software: Evidence from ASEAN Countries and Scholarly Research

This comprehensive systematic review provides an in-depth analysis of consumer price index (CPI) methods and software use in Asian countries. The study looks at the practises used by countries to calculate CPI, with an overwhelming preference for monthly calculations, reflecting the dynamic economic growth of the region. The use of household expenditure surveys and weighting sources ensures that CPI accurately captures changes in consumer spending patterns and the relative importance of different goods and services. Applications of CPI in Asian countries cover a wide range, including indexation of wages, pensions and social security contributions, as well as its central role as a main indicator for monetary policy decisions, macroeconomic modelling and various analytical purposes. The systematic review highlights various calculation methods for CPI, including the Carli index, the Laspeyres index, the chained Jevons index and the Dutot index, each of which has different strengths and weaknesses that affect the accuracy and reliability of CPI's measurements. In terms of software, the study encounters a range of applications, including Microsoft Excel, SAS, STATA, R, Python, EViews and SPSS, each offering versatile capacities for statistical analysis and econometric modelling. In addition, the study explores potential software alternatives such as Gretl, Julia, EpiData, GNU Octave, Tableau, Matplotlib, Seaborn and QGIS, whose suitability for CPI calculations should be considered. The research findings highlight the importance of transparent and accurate CPI calculations in shaping effective policy decisions. Policy makers can use these findings to refine CPI measurements to enable well-informed strategies to steer the economy. The study suggests avenues for future research that include assessing specific impacts of CPI calculations, further developing software tools, and incorporating consumer perceptions into CPI development.

Possibilities to escape the rental trap

Despite a resurgence of economic activity since the 2008 financial crisis and longstanding government policies promoting homeownership, the percentage of renters has remained stable over the past decade despite most preferring homeownership. This study examines the time required for various rental market groups to save for a down payment on an apartment in the capital area from 2011 to 2022. We also assess the potential impact of a government program allowing certain low-income groups to set aside just 5% of a property’s price as a down payment. The focus is on people in the lowest 20th percentile group. Using data on wages, taxes, compulsory pension contributions, and spending patterns, we analyze how much each group can realistically save, considering both minimal (bare) and typical consumption benchmarks. This analysis reveals how much each group can save for a down payment. Our findings show that despite economic prosperity and wage increases outpacing the consumer price index (excluding housing costs), the time needed to save for a down payment in 2022 remains nearly the same as in 2011 due to rising housing prices. Single parents face the most difficulty saving for a down payment, but the 5% down payment program offers a more realistic path to homeownership. The implications are that government policies should focus on controlling house prices and continuing the 5% down payment program to enhance homeownership opportunities.

Use of and spending on medical equipment among cancer survivors.

210 Background: Cancer survivors are increasingly older, with rising rates of functional impairment, comorbidity burden, and needs. Patients often require medical equipment, but administrative barriers and lack of payer coverage can limit access and increase cost sharing for patients. Prior work on financial burdens has largely focused on direct medical costs and costs of prescription drugs. We sought to characterize patterns of use and costs associated with medical equipment use among US cancer survivors. Methods: We used the US National Health Interview Survey (NHIS)—a nationally representative survey of the US population— to identify self-reported use of medical equipment (‘’such as a cane, a wheelchair, a special bed etc.’’) among cancer survivors from 1997-2018. We then used the Medical Expenditure Panel Survey (MEPS) — which includes additional data on health care costs and spending among people sampled from the NHIS— to evaluate out-of-pocket (OOP) and total spending on equipment (e.g., orthopedic items, prosthesis, bathroom aids, disposable supplies etc.) among cancer survivors from 2016-2020. We describe trends in prevalence of use, and compared OOP costs and percentage of cost sharing responsibility (OOP cost/total spending) for equipment relative to other medical care, such as prescription drugs. Results: We identified 55,625 cancer survivors in the NHIS, representing 19.1 million weighted individuals from 1997-2018. The weighted number of cancer survivors using medical equipment increased during the study period from 0.9 million in 1997 to 2.3 million 2018, a 2.4-fold increase. The number of survivors not requiring equipment increased by 1.7-fold during the same period. The adjusted prevalence of equipment use among survivors increased from 5.1% in 1999 to 7.9% in 2018, a 2.8 percentage-point increase (P < .001 for trend). We identified 32,106 cancer survivors (56.6% women, 55.9% ≥65 years) in MEPS from 2016-2020. Among users, mean annual total spending on equipment was 1,205, and mean OOP costs for equipment were 672. For comparison, mean annual OOP costs for prescription drugs was $541. The cost sharing responsibility for equipment (56%) was higher than that for all other comparison groups: prescription drugs (10%), outpatient visits (11%), occupational/physical therapy (18%), emergency room visits (20%), and hospitalization (3%). Conclusions: The number of US cancer survivors who use medical equipment has more than doubled during the past 20 years. For these patients, OOP costs for equipment are greater than that for prescription drugs, with patients responsible for over half the total spending. These data are particularly notable given that patterns of use and spending reported here do not capture survivors unable to access necessary equipment due to administrative, financial, and/or other barriers. Interventions to assess need, ensure access, and decrease associated financial burden are urgently needed.

Beyond Basics: The Dichotomy of Actual and Perceived Consumer Needs

Consumer behavior, particularly in distinguishing between actual and perceived needs, reveals complex dynamics that shape spending patterns. This study, titled “Beyond Basics: The Dichotomy of Actual and Perceived Consumer Needs,” examines how modern consumerism often blurs the lines between essential and discretionary expenditures. While actual needs—such as food, shelter, and clothing—are vital for survival, they often receive less financial attention compared to perceived needs, which are closely tied to social status, identity, and recognition. Using Maslow’s Hierarchy of Needs as a theoretical framework, this research explores the psychological and social factors influencing this discrepancy. The study employs a quantitative approach, collecting data from a diverse sample of consumers across different socio-economic backgrounds. Through hypothesis testing, including t-tests and regression analysis, the research investigates the significant differences in spending on actual versus perceived needs and the impact of social status on these spending priorities. The findings indicate that consumers, on average, allocate significantly more financial resources to perceived needs, with social status serving as a stronger predictor of this behavior than income level. This trend is particularly evident among higher-income individuals, but it is pervasive across all income groups, reflecting the deep-rooted influence of societal norms and marketing strategies on consumer choices. The study concludes by discussing the implications for marketers, policymakers, and consumer education. It suggests that promoting financial literacy, developing sustainable marketing strategies, and encouraging a shift towards prioritizing actual needs could lead to more balanced and sustainable consumer habits. By addressing the psychological and social drivers of consumption, it may be possible to mitigate the adverse effects of excessive spending on perceived needs and foster healthier, more sustainable consumption patterns.

Mixed-Methods Analysis of Community-Building Activities in Minnesota Hospitals.

Nonprofit hospitals are required to annually report spending on community-building activities (CBAs) to the Internal Revenue Service. CBAs are actions that address root causes of community health problems such as housing and food insecurity. While addressing these issues is important regardless of location, CBA spending could particularly benefit rural residents who, on average, experience worse health outcomes. However, national CBA spending has historically been extremely low, potentially due to confusion surrounding reporting. This explanatory mixed-methods study sought to illuminate nonprofit hospital spending patterns on CBAs in one state, Minnesota, to understand why spending in this important category is so low. Authors first conducted quantitative analyses of publicly available tax return data for the year 2019' which revealed no statistically significant differences in CBA spending by rural location or hospital system affiliation. Authors then performed a case study of the top spending hospitals' narrative statements provided in nonprofit hospital tax return documents and found significant variation in what is reported as a CBA. We suggest CBA spending be reported differently to reduce confusion and render tax documents more accurate portrayals of nonprofit hospital spending, thereby providing policymakers with needed information to ensure nonprofit hospitals are financially supporting community health.

A Framework for Estimating Economic Impacts of Ecological Restoration.

Ecological restoration projects are designed to improve natural and cultural resources. Spending on restoration also stimulates economic impacts to the restoration economy through the creation or support of jobs and business activity. This paper presents accessible methods for quantifying the economic impacts supported by restoration spending and is written to be a guide and toolbox for an interdisciplinary audience of restoration practitioners and economists. Measuring the economic impacts of restoration can be challenging due to lacking or limited data. The complex, collaborative, and heterogeneous nature of restoration projects can make it difficult to clearly track costs, contributing to limited availability and inconsistency in restoration cost data. And business classification systems, such as the North American Industrial Classification System (NAICS), do not include restoration-sectors that consistently describe the patterns of restoration spending. The aims of this paper are to (1) provide restoration practitioners and program managers with a clear understanding of the application of economic impact analyses to restoration, (2) provide a framework for collecting project cost data for economic impact analyses, and (3) provide modeling best practices and an example application of the framework.

Cogency of Twin and Triple Deficit in India

The emergence of the current account deficit (CAD) based on the gross fiscal deficit (GFD) has been the focus of attention in the Indian economy. The theoretical underpinnings of Ricardian and Keynesian were different from their explanations, so the researchers sought to choose to be independent of their views. Along with Feldstein-Horioka puzzle which examined the twin deficit hypothesis (TWH) researcher also look for the role of saving-investment gap (S-IGap) which gave emergence of triple deficit hypothesis for a time spanning from1990-91 to 2019-20. Granger Causality under VAR environment was used to analyze the association and provide evidence on the TWH and TDH for India. The main contribution of this study is to propose an idea regarding the direction of the validity of the TWH and TDH in India. The FD, CAD, and S-Igap reflect government expenses, providing insights into the financial conditions and spending patterns of the government.

Analyzing Post-2010 China-US Defense Expenditures: Uncovering the NewArmsRace

The New Arms Race encapsulates a dynamic geopolitical competition characterized by escalating military capabilities and strategic posturing between the U.S and China. Amidst the intensifying Sino-US arms race, the objective of this research is to examine the trends and patterns of Sino-USdefense spending’s (2010-2022) to analyze the evolving military competition's strategic, economic and social implications, contributing to the discourse on global security and stability. Data from reputable sources like SIPRI, IISS, plus official budget reports and defense White-Paper’s inform the analysis. Using a mix-method approach, quantitative data is descriptively presented to highlight trends, patterns, and significant changes over time. Plus, qualitative analysis is conducted to interpret the implications of these expenses, drawing on International Relation’s theories and expert opinions to assess how shifts in military spending influences power dynamics, alliances, and conflicts? The results show that, the global military expenditures surpassed $2240 billion. China's defense spending has seen a 29-year consecutive increase, while the US maintains its top spender status, propelled by ongoing modernization efforts and diverse geopolitical strategies. This study is Grounded in the "Security Dilemma" framework, assumes that potential enemies would viewa country's attempts to strengthen its security as a threat, setting off a cycle of action and reaction that deepens mutual suspicions and contributes to the potential for an arms race. Due to the Sino-US ongoing military modernization plans and diverse geopolitical strategies, it is suggested that this tendency will persist in the foreseeable future.

The influence of fiscal transparency on expenditure by regional and provincial governments in Vietnam

The intricate relationship between budget transparency and government expenditure has been confirmed, with a particular focus on how these dynamics are influenced by spatial and temporal factors. This study deals with the spatio-temporal effects of transparent communal budgets on local government spending, specifically across the 63 provinces in Vietnam. By analyzing data over time, the study uncovers critical insights into how the disclosure of budget information influences government spending patterns, both in the short term and the long term. The findings reveal a nuanced relationship, where both the direct and indirect effects of budget transparency on expenditure tend to be negative, suggesting that increased transparency may lead to a reduction in government spending. This trend is observed from both a short-term perspective, where immediate changes in budget disclosure affect spending, and a long-term perspective, where the effects of sustained transparency become more evident. The study highlights significant regional disparities in the impact of budget transparency on government expenditure. It finds that the influence of budget disclosure is less pronounced in northern Vietnam compared to the southern regions. The results advocate for policies that support targeted resource allocation at the provincial or regional levels. Such tailored approaches are essential for achieving more effective and equitable government budget management, ensuring that transparency initiatives are adapted to the specific needs and conditions of different regions within Vietnam. Overall, this research contributes to the broader understanding of how transparency in budgetary processes can influence government spending. By highlighting the spatial and temporal dimensions of this relationship, the study provides valuable insights for policymakers seeking to enhance fiscal accountability and optimize public resource allocation in Vietnam.

How Does Small-Scale Mining Stabilize Rural Livelihoods in Sub-Saharan Africa? The Case of Mozambique

This paper examines the linkages between subsistence farming and artisanal and small-scale mining (ASM) – low-tech, labor-intensive mineral extraction and processing – in sub-Saharan Africa, focusing on the case of Mozambique. While the body of literature on this subject is burgeoning, it is comprised mostly of conceptual pieces and country case studies that rely heavily on qualitative data. Focusing on Manica Province, long an epicentre of small-scale gold mining activity in Mozambique, the paper showcases the value of including complementary quantitative data in analyses of ASM-farming linkages in rural sub-Saharan Africa. In particular, quantitative data that provide detail on the demographical composition of communities engaged in both ASM and agriculture, and which shed light on the spending patterns of households involved, could go a long way toward enriching dialogues on this subject, and, in the process, yield more effective (and, indeed, representative) rural development and poverty alleviation strategies in the region. The data gathered in Manica Province provide a more nuanced picture of how the ages and educational levels of household heads, and the sizes of their families, shape views on ASM and agriculture in gold-rich sections of Mozambique. Studies exploring the linkages between ASM and agriculture in sub-Saharan Africa that feature both qualitative and quantitative data provide greater clarity on the role each activity could play in tackling some of the region’s broader development challenges, including food insecurity and (building) community resilience.

Identifying the approach to financial sustainability: Navigating the complexities of earning and spending

This study provides insightful information about personal finance by examining the complex relationship between income and spending patterns in various occupations. It reveals strong relationships between income levels and expected results through regression analysis, providing insight into how different occupational groups are impacted by financial well-being. Building on this basis, a thorough one-way ANOVA and post-hoc tests show that students, academics, labourers, business owners, and government employees have remarkably different spending preferences. These results highlight the significant impact of occupation-specific variables on financial behaviour, including benefits, income stability, and social expectations. This research provides a path corresponding to specific policy interventions and programs aimed at financial literacy. By promoting economic resilience and well-being across a range of demographic and occupational landscapes, the ultimate objective is to cultivate a future in which responsible spending practices are shared realities rather than just ideals.

The impact of payment method on overseas tourism consumption: micro-evidence from China

ABSTRACT This study conducts an empirical analysis to examine the impact of payment methods on spending patterns and product preferences using micro-survey data on Chinese citizens’ overseas tourism expenditures. A sample selection model was constructed to address the potential bias arising from the non-randomly selected samples used for estimation. Our findings suggest that payment methods significantly affect the amount on Chinese citizens on overseas tourism. And these impacts vary across different age and gender groups. Payment methods also significantly influence the product preferences of Chinese citizens’ overseas tourism consumption. Moreover, it is also found that shopping venues significantly affect Chinese citizens’ spending on overseas tourism.

The Ballpark Effect: Spatial-Data-Driven Insights into Baseball’s Local Economic Impact

The impact of sporting events on local economies and their spatial distribution is a topic of active policy debate. This study adds to the discussion by examining granular cellphone location data to assess the spillover effects of Major League Baseball (MLB) games in a major US city. Focusing on the 2019 season, we explore granular geospatial patterns in mobility and consumer spending on game days versus non-game days in the Saint Louis region. Through density-based clustering and hotspot analysis, we uncover distinct spatiotemporal signatures and variations in visitor affluence across different teams. This study uses features like game day characteristics, location data (latitude and longitude), business types, and spending data. A significant finding is that specific spatial clusters of economic activity are formed around the stadium, particularly on game days, with multiple clusters identified. These clusters reveal a marked increase in spending at businesses such as restaurants, bars, and liquor stores, with revenue surges of up to 38% in certain areas. We identified a significant change in spending patterns in the local economy during games, with results varying greatly across teams. Notably, the XGBoost model performs best, achieving a test R2 of 0.80. The framework presented enhances the literature at the intersection of urban economics, sports analytics, and spatial modeling while providing data-driven actionable insights for businesses and policymakers.

A Study on the Phenomenon of Conspicuous Consumption in South Korea’s Luxury Market Under Economic Uncertainty

This paper investigates the phenomenon of conspicuous consumption in South Korea’s luxury market under conditions of economic uncertainty. While traditional economic theories suggest that luxury spending should decrease during periods of financial instability, the South Korean market demonstrates a contrasting trend, where luxury consumption not only persists but often intensifies. Through qualitative interviews with consumers, industry experts, and market analysts, this study explores the cultural, social, and psychological factors driving this behavior. The findings reveal that social status, identity, and emotional coping mechanisms play crucial roles in sustaining luxury consumption, even amidst economic downturns. Furthermore, the influence of K-Culture and social media amplifies the desire for luxury goods, especially among younger consumers. The study also highlights the complex interplay between economic variables, such as GDP growth, unemployment rates, and consumer confidence, and their impact on luxury spending patterns. This paper contributes to a deeper understanding of the unique dynamics at play in the South Korean luxury market and offers insights for luxury brands, marketers, and policymakers to develop effective strategies in this rapidly evolving environment.

An Overview of Credit Card Fraud Detection Techniques

Credit card fraud is the first thing that comes to mind when the word fraud is uttered. The volume of credit card transactions has increased significantly in recent years, along with a corresponding spike in credit card fraud. Monitoring users' and customers' spending patterns helps detect fraud and stop bad behavior. There is a rising rate of credit card fraud as they become the most widely used payment mechanism for both online and offline transactions. The goal of fraud detection is to identify fraudulent conduct as soon as it is possible and to document it. The utilization of charge cards is normal in present day culture. The multimillion-dollar industry of extortion is growing each. Extortion influences the world economy fundamentally. Different contemporary strategies, for example, information mining, AI, fluffy rationale, hereditary programming, and man-made consciousness, have been produced for identifying charge card extortion. This study tells the best way to successfully consolidate information mining methods to keep a low or high misleading problem rate while accomplishing high extortion inclusion.

Financing health in sub-Saharan Africa 1990-2050: Donor dependence and expected domestic health spending.

In 2021, global life expectancy at birth was 74 years whereas in sub-Saharan Africa it was 66 years. Yet in that same year, $92 per person was spent on health in sub- Saharan Africa, which is roughly one fifth of what the next lowest geographic region-North Africa and Middle East-spent ($379). The challenges to healthy lives in sub-Saharan Africa are many while health spending remains low. This study uses gross domestic product, government, and health spending data to give a more complete picture of the patterns of future health spending in sub-Saharan Africa. We analyzed trends in growth in gross domestic product, government health spending, development assistance for health and the prioritization of health in national spending to compare countries within sub-Saharan Africa and globally.We found that while gross domestic product was projected to increase through 2050 in sub-Saharan Africa, the share of gross domestic product that goes to health spending is only expected to increase moderately. Our exploration shows that this tepid growth is expected because the percent of overall government spending that is dedicated to health 7·2% (6·3-8·3) compared to average of 12·4% (11·7-13·2) in other regions) is expected to stay low. Even if the amount, of resources provided from donors climbs some, it is not expected to keep pace with growing economies in sub-Saharan Africa and may transition towards other global public health goods. Critically, development assistance for health provided to sub-Saharan Africa is expected to decrease in some countries, and the expected growth in government health spending might not be enough to cover this expected decline. Increases in spending with a concordant prioritization of health and the appropriate health system governance and structural reforms are critical to ensure that people who live in sub-Saharan Africa are not left behind.

Federations of academic departments: performance-based funding and academic field-level expenditures at Russell group universities

ABSTRACT The widespread adoption of performance-based funding has been a global trend in higher education policy over the past 40 years. While considerable attention has been devoted to studying the relationship between performance-based funding and institutional behavior at the university level, little research has explored the relationship between performance-based funding and institutional decision-making behavior within universities. Conceptualizing universities as federations of academic departments, I used results from the 2014 Research Excellence Framework (REF) exercise to explore the relationship between those results and subsequent spending patterns within Russell Group universities. The most important finding is that this relationship varies based upon both the academic field and the university’s rank in the Times Higher Education World University Ranking (THE-WUR). It also has implications for policymakers around the world as it underscores that policy decisions can have differential impacts not only across universities, but also within universities.